Data Engineer

6 - 10 years

0 Lacs

Posted:16 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: As a Data Engineer at our company, you will be responsible for developing and maintaining data pipelines in distributed environments using Core Python, PySpark, Hive, Hadoop HDFS, Oozie, and Yarn. Your expertise in OOPs concepts, SQL querying, and cloud environments will be key to your success in this role. You will work closely with cross-functional teams to design and optimize data pipelines, ensuring efficient data processing and storage. Key Responsibilities: - Utilize your strong expertise in Core Python to implement classes and objects, constructor, methods, encapsulation, abstraction, and property decorators. - Hands-on experience with PySpark for large-scale data processing. - Proficiency in Hive, Hadoop HDFS, Oozie, and Yarn for data processing and workflow management. - Experience in SQL for querying, optimization, and handling large datasets. - Apply good understanding of OOP design principles to develop robust data pipelines. - Exposure to Azure and AWS cloud environments is a plus for this role. Qualifications Required: - 6-10 years of proven experience as a Data Engineer. - Ability to design, build, and optimize data pipelines in distributed environments. - Strong problem-solving and debugging skills. - Comfortable working in a hybrid setup and collaborating with cross-functional teams.,

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